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--- |
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license: apache-2.0 |
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library_name: transformers |
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--- |
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# VoiceSynthPro |
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<!-- markdownlint-disable first-line-h1 --> |
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<!-- markdownlint-disable html --> |
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<!-- markdownlint-disable no-duplicate-header --> |
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<div align="center"> |
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<img src="figures/architecture.png" width="60%" alt="VoiceSynthPro" /> |
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</div> |
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<hr> |
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<div align="center" style="line-height: 1;"> |
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<a href="LICENSE" style="margin: 2px;"> |
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<img alt="License" src="figures/license_badge.png" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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</div> |
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## 1. Introduction |
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VoiceSynthPro is a state-of-the-art text-to-speech model that generates natural-sounding human speech from text input. Built on the FastSpeech2 architecture with enhanced prosody modeling, VoiceSynthPro delivers exceptional audio quality across multiple languages and speaking styles. |
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<p align="center"> |
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<img width="80%" src="figures/waveform.png"> |
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</p> |
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The model has been trained on over 10,000 hours of high-quality speech data and supports real-time synthesis with minimal latency. Key improvements in this version include better handling of emotional expression and improved pronunciation accuracy for technical terminology. |
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## 2. Evaluation Results |
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### Comprehensive Benchmark Results |
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<div align="center"> |
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| | Benchmark | Model-A | Model-B | Model-C | VoiceSynthPro | |
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|---|---|---|---|---|---| |
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| **Speech Quality** | Speech Clarity | 0.720 | 0.735 | 0.741 | 0.775 | |
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| | Pronunciation Accuracy | 0.801 | 0.812 | 0.820 | 0.857 | |
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| | Prosody Naturalness | 0.756 | 0.768 | 0.775 | 0.856 | |
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| **Expressiveness** | Emotion Conveyance | 0.692 | 0.705 | 0.710 | 0.759 | |
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| | Speaking Rate Control | 0.825 | 0.833 | 0.840 | 0.892 | |
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| | Pitch Variation | 0.738 | 0.745 | 0.752 | 0.800 | |
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| **Technical** | Realtime Factor | 0.890 | 0.901 | 0.908 | 0.917 | |
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| | Audio Quality (MOS) | 0.765 | 0.778 | 0.785 | 0.869 | |
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| | Robustness Score | 0.812 | 0.820 | 0.825 | 0.855 | |
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</div> |
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### Overall Performance Summary |
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VoiceSynthPro demonstrates superior performance across speech quality, expressiveness, and technical benchmarks, making it suitable for production deployment. |
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## 3. Quick Start |
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```python |
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from voicesynthpro import VoiceSynthPro |
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model = VoiceSynthPro.from_pretrained("VoiceSynthPro") |
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audio = model.synthesize("Hello, welcome to VoiceSynthPro!") |
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audio.save("output.wav") |
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``` |
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## 4. License |
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This model is licensed under the [Apache 2.0 License](LICENSE). |
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## 5. Contact |
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For questions, contact us at support@voicesynthpro.ai. |
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